A New Genetic Algorithm for Designing Cellular Manufacturing Systems with Labor and Tools Issues

Gharbi, Anis; Al-Ahmari, Abdulrahman M.; Msakni, Mohamed Kais; Al-Khalefah, Hisham

doi:10.4028/www.scientific.net/AMM.110-116.4307

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Home Applied Mechanics and Materials Mechanical and Aerospace Engineering, ICMAE2011A New Genetic Algorithm for Designing Cellular...

A New Genetic Algorithm for Designing Cellular Manufacturing Systems with Labor and Tools Issues

Abstract:

This paper considers the problem of designing cellular manufacturing systems (CMS) with the presence of alternate process plans, tools and workers. The objective is to minimize the total costs of machine installation, operations, tools and workers with a number of identified practical constraints. A genetic algorithm is designed in order to efficiently solve medium and large sized problems. Preliminary numerical results show the worth of implementing the suggested procedure.

Info:

Periodical:

Applied Mechanics and Materials (Volumes 110-116)

Main Theme:

Mechanical and Aerospace Engineering, ICMAE2011

Edited by:

Wu Fan

Pages:

4307-4314

DOI:

10.4028/www.scientific.net/AMM.110-116.4307

Citation:

A. Gharbi et al., "A New Genetic Algorithm for Designing Cellular Manufacturing Systems with Labor and Tools Issues", Applied Mechanics and Materials, Vols. 110-116, pp. 4307-4314, 2012

Online since:

October 2011

Authors:

Anis Gharbi, Abdulrahman M. Al-Ahmari, Mohamed Kais Msakni, Hisham Al-Khalefah

Keywords:

Cellular Manufacturing, Genetic Algorithm (GA), Machine Cells, Part Family

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References

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[7] Taboun , S. , Merchawi , N. , and Ulger , T A two stage model for cost effective part family and machine cell formation, Computers and Industrial Engineering, Vol. 34, pp.759-776, (1998).

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[8] Saeedi, S., Solimanpur, M., Mahdavi, I, and Javadian, N. Heuristic Approaches for Cell Formation in Cellular Manufacturing, J. Software Engineering & Applications, Vol. (3), pp.674-682, (2010).

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DOI: 10.5267/j.ijiec.2010.04.005

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Paper TitlePages

Reliability Analysis of Condition Monitoring Systems under Fuzzy Environment

Authors: P.X. Yi, Shi Yuan Liu, Y.M. Hu, W. Liu

Abstract: As an important means to improve the reliability of complex manufacturing systems and to ensure that they can function better, condition monitoring systems (CMS) are usually designed and used in manufacture industries. And reliability is one of the most important characteristics of CMS. Fuzzy set theory based on reliability modeling and analysis methods for CMS are proposed in this paper. The methods include a fuzzy graph modeling technique for analyzing the system reliability of CMS, and fuzzy reliability computing methods to quantify uncertainties in function decomposition of CMS and compute system reliability of CMS by invoking Fuzzy-set theory and approaches. On the other hand, the fuzzy reliability of CMS based on fuzzy failure subset and confidence level is defined, and system reliability indexes of CMS are set up to compute the system reliability of CMS. A case of application is used to illustrate the procedure.

863

Optimization of Cellular Manufacturing Systems Using Genetic Algorithm: A Review

Authors: Pawan Kumar Arora, Abid Haleem, M.K. Singh, Harish Kumar

Abstract: Though Cellular Manufacturing System (CMS) has been an active area of research for past few decades, but, still it has not received the requisite attention so far. Despite of a useful manufacturing strategy based on the group technology (GT), it is yet to be established on a larger scale. The CMS allows the grouping of the facilities on the basis of similarity in manufacturing processes and design considerations of the products to be manufactured. A lot of researchers have worked for various developments related to various issues of CMS, but for last decades, the modern optimization tools like genetic algorithm (GA), artificial neural networks (ANN) have changed the scenario and research work has been accelerated related to CMS. The present paper is an attempt to discuss the GA related research work by various researchers for CMS. Research work along with their impact of past researchers has been discussed and reported here.

Novel Concepts and Criteria for Design Optimization of Controlled Mechanical Systems

Authors: Petko Kiriazov

Abstract: Controlled mechanical systems (CMS) are various robotic systems, vehicles/platforms with active suspension, and other engineering structures with active vibration/shape control. CMS have to be considered as functionally directed compositions of mutually influencing subsystems: control, actuator, structural, and sensor subsystems. Such systems have highly complex dynamics and an advanced conceptual framework is needed that considers at the same time the problems of full dynamic modelling, optimal system design, accurate parameter identification, and optimal robust control. There are various design tasks for controlled mechanical systems (CMS), where continuously increasing demands for higher speed, better motion accuracy, and reduced energy consumption are to be satisfied. In order to achieve such complicated performance optimization, it is very important to study their controllability and find efficient solutions for the control-related, design optimization problems. Our intention is to present novel concepts and criteria for design optimization of CMS with decentralized controllers at the lowest (joint) level. The first step is to find a dynamic model relating the control inputs and the controlled outputs which is suitable for both purposes: accurate parameter identification and robust control design. To do that, we can apply the so-called multibody system approach: the mechanical structure of CMS can be approximated by a composition of rigid bodies connected by joints, actuators, springs, and dampers. Then we find explicit necessary and sufficient conditions on the control transfer matrix that can guarantee robust controllability in the face of arbitrary, but bounded disturbances. Thus the design optimization process has to involve, besides the basic strength/load capacity criterion, additional design relations for optimal trade-off between the bounds of disturbances and the control force limits. The proposed approach enables decomposing the complex CMS design task into much simpler optimization problems for the CMS components: mechanical structure, actuators, sensors, and controllers. The new design concepts will be illustrated with several optimization examples of CMS concerning their shape, mass distribution, actuators' sizes and locations, and control functions.

565

Experimental Study on Geometries Energy Absorption of Fiber Metal Laminated Mild Steel under Axial Compression

Authors: Muhammad Izani Sahak, Ahmad Kamely Mohamad, Abdullah Atiq Ariffin

Abstract: Crashworthiness is the ability of a structure to protect its occupants during an impact. Depending on the nature of the impact and the vehicle involved, different criteria are used to determine the crashworthiness of the structure. The combination of metal and composite layers is known to displays plastics deformation and failure mode composite layered. The capable of structures to absorb large amount of energy are great interest in an effort to reduce the impact of collision. In this experimental study, an investigation will be carried out on geometries behavior of fiber metal laminated mild steel under axial compression. For structures subjected to compression, energy absorption is highly desirable and will depend on its physical shape. The efficiency is measured in term of the absorption performance that is higher in hybrid composites than in metallic and composite structures. Much of the working assessing the energy absorbing capability of composite materials and structures under compressive loading has been to a greater extent restricted to axis metric tubes. Therefore, it will contribute knowledge on how to design hybrid composite material tubes to develop a stable or controlled compression response under sustained axial loading.

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